Literature DB >> 25554007

Value of diffusion-weighted MR imaging using various parameters for assessment and characterization of solitary pulmonary nodules.

Hisanobu Koyama1, Yoshiharu Ohno2, Shinichiro Seki3, Mizuho Nishio2, Takeshi Yoshikawa2, Sumiaki Matsumoto2, Yoshimasa Maniwa4, Tomoo Itoh5, Yoshihiro Nishimura6, Kazuro Sugimura3.   

Abstract

OBJECTIVES: To determine the appropriate parameters and evaluation method for characterizing solitary pulmonary nodules (SPNs) using quantitative parameters of diffusion-weighted imaging (DWI).
METHODS: Thirty-two subjects with 36 SPNs underwent DWI with seven different b values (0, 50, 100, 150, 300, 500, and 1000s/mm(2)). Five quantitative parameters were obtained from the region of interest drawn over each SPN: apparent diffusion coefficients (ADCs), true diffusion coefficients (DCs), and perfusion fractions (PFs), and signal-intensity ratios between lesion and spinal cord from DWI (b values: 1000 [LSR1000] and 500 [LSR500)]). All quantitative parameters and the diagnostic capabilities were statistically compared.
RESULTS: SPNs were diagnosed as follow: malignant (n=27) and benign (n=9). Parameter comparisons for malignant and benign showed both LSRs differed significantly (p<0.05). Applying feasible threshold values showed LSR500 specificity (88.9% [8/9]) and accuracy (77.8% [28/36]) were significantly higher than ADC, DC, and PF specificity and accuracy (p<0.05). LSR1000 accuracy (72.2% [26/36]) was significantly higher than DC accuracy, and its specificity (88.9% [8/9]) was significantly higher than ADC, DC, and PF specificities (p<0.05).
CONCLUSIONS: For quantitative differentiation of SPNs, LSR evaluation was more useful and practical than ADC, DC, and PF, and choice of b values showed little impact for the differentiation.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Diffusion magnetic resonance imaging; Lung neoplasms; Magnetic resonance imaging; Solitary pulmonary nodule

Mesh:

Year:  2014        PMID: 25554007     DOI: 10.1016/j.ejrad.2014.11.024

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  22 in total

1.  Magnetic resonance imaging of pulmonary nodules: accuracy in a granulomatous disease-endemic region.

Authors:  Natália Henz Concatto; Guilherme Watte; Edson Marchiori; Klaus Irion; José Carlos Felicetti; José Jesus Camargo; Bruno Hochhegger
Journal:  Eur Radiol       Date:  2015-12-05       Impact factor: 5.315

2.  Letter to the editor re Magnetic resonance imaging of pulmonary nodules: accuracy in a granulomatous disease-endemic region.

Authors:  Guohua Shen; Anren Kuang
Journal:  Eur Radiol       Date:  2017-05-05       Impact factor: 5.315

3.  Reply to Letter to the Editor re: Magnetic resonance imaging of pulmonary nodules: accuracy in a granulomatous disease-endemic region.

Authors:  Natália Henz Concatto; Guilherme Watte; Edson Marchiori; Klaus Irion; José Carlos Felicetti; José Jesus Camargo; Bruno Hochhegger
Journal:  Eur Radiol       Date:  2017-05-05       Impact factor: 5.315

4.  Differentiating between malignant and benign solid solitary pulmonary lesions: are intravoxel incoherent motion and diffusion kurtosis imaging superior to conventional diffusion-weighted imaging?

Authors:  Qi Wan; Ying-Shi Deng; Qiang Lei; Ying-Ying Bao; Yu-Ze Wang; Jia-Xuan Zhou; Qiao Zou; Xin-Chun Li
Journal:  Eur Radiol       Date:  2018-09-25       Impact factor: 5.315

5.  MRI in Evaluation of Solitary Pulmonary Nodules.

Authors:  Erdem Fatihoğlu; Suzan Biri; Sonay Aydın; Elif Ergün; Pınar Nercis Koşar
Journal:  Turk Thorac J       Date:  2019-01-31

6.  Diffusion-weighted magnetic resonance imaging for the initial characterization of non-fatty soft tissue tumors: correlation between T2 signal intensity and ADC values.

Authors:  Pedro Augusto Gondim Teixeira; Frederique Gay; Bailiang Chen; Marie Zins; François Sirveaux; Jacques Felblinger; Alain Blum
Journal:  Skeletal Radiol       Date:  2015-12-01       Impact factor: 2.199

7.  Comparison of Various Parameters of DWI in Distinguishing Solitary Pulmonary Nodules.

Authors:  Han-Xiong Guan; Yue-Ying Pan; Yu-Jin Wang; Da-Zong Tang; Shu-Chang Zhou; Li-Ming Xia
Journal:  Curr Med Sci       Date:  2018-10-20

8.  Diagnostic performance of diffusion-weighted magnetic resonance imaging in pulmonary malignant lesions: a meta-analysis.

Authors:  Ning Chang; Xiao-Hui Wang; Long-Biao Cui; Hong Yin; Tao Jiang; Fu-Lin Chen; Li-Peng Liu; Jian Zhang
Journal:  Transl Lung Cancer Res       Date:  2019-12

9.  Value of radiomics model based on multi-parametric magnetic resonance imaging in predicting epidermal growth factor receptor mutation status in patients with lung adenocarcinoma.

Authors:  Yuze Wang; Qi Wan; Xiaoying Xia; Jianfeng Hu; Yuting Liao; Peng Wang; Yu Peng; Hongyan Liu; Xinchun Li
Journal:  J Thorac Dis       Date:  2021-06       Impact factor: 2.895

10.  3.0T MRI for long-term observation of lung nodules post cryoablation: a pilot study.

Authors:  Jing Li; Jinrong Qu; Hongkai Zhang; Yingshu Wang; Lin Zheng; Xiang Geng; Yan Zhao; Hailiang Li
Journal:  Cancer Imaging       Date:  2017-12-01       Impact factor: 3.909

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